Data Management

Traditional data architectures and management processes are no longer cutting it to meet modern analytics needs. Digital transformation and the cloud are driving major changes to data management practices and the technology landscape. Potential vendors and tools are growing to a degree that it’s difficult to know the right direction for your organization.

Our team of consultants, data architects, and data engineers have the experience to navigate your journey towards a modern data architecture that drives value for your analytics organization. We help you avoid the hype and implement data warehouses, big data and data lakes that have near-term business value and don’t just implement technology for technology’s sake.

Smartbridge Experience & Services:

  • Enterprise Data Strategy

  • Cloud Data Architecture

  • Cloud Data Warehouse & Data Lake

  • Data Integration

  • Data Quality and Data Governance

E-BOOK: PREVIEW OUR AGILE ANALYTICS REFERENCE ARCHITECTURE

Standardized on Microsoft Azure? This e-book will help you establish your Azure data & analytics strategy and roadmap.

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THOUGHT LEADERSHIP

Getting Started with Snowflake Cloud Data Warehouse

Getting Started with Snowflake Cloud Data Warehouse

At Smartbridge, we have built and managed many data warehouses for our clients on a variety of on-premise databases, as well as cloud data warehouses. As a Snowflake implementation partner, we will cover a broad introduction to the Snowflake cloud data warehouse, and its ability to increase data management agility.

THOUGHT LEADERSHIP

An Overview of Cloud Data Warehouses and Cloud Data Lakes

An Overview of Cloud Data Warehouses and Cloud Data Lakes

The IT environment is constantly changing, but something that has stayed consistent over the years is the need for organizations to perform accurate analysis, create reports and derive results to make critical business decisions.

THOUGHT LEADERSHIP

Modern Data Integration in Cloud - Azure Data Factory for Snowflake

Modern Data Integration in Cloud – Azure Data Factory for Snowflake

As more organizations move toward modernizing their data warehouse, many applications and services have taken part in helping facilitate this digital transformation. This article explains how the cloud data integration service, Azure Data Factory, can be used to load data from on-premises databases into Snowflake, a cloud data warehouse.

CASE STUDY

The Path to Reporting & Analytics: Establishing an Enterprise Data Warehouse

The Path to Reporting & Analytics: Establishing an Enterprise Data Warehouse

A large restaurant chain had many challenges, including: no standard defined for the reports, metrics and business rules; there were too many being produced ad-hoc; more time spend massaging the data than analyzing it.

DATA MANAGEMENT CHALLENGES

Each organization is in a different place and has different drivers for data management agility and maturity, but there are some critical capabilities or components that are generally applicable including:

  • Storage & compute flexibility & elastic provisioning
  • Support for parallel & distributed processing
  • Event/data streaming
  • Democratized data access

  • Easy to use without specialized training
  • Ability to handle all data types
  • Business-enabled data engineering
  • Data lab / sandbox
  • Data catalog

Deploying, integrating and managing data and analytics solutions and platforms can be challenging.

Implementing solutions that solve significant business challenges come with a new set of needs and maintenance requirements that sometimes don’t seem like they are properly offsetting the issues they were intended to solve.

If you feel stuck or stretched thin, consider Smartbridge’s data and analytics managed services >

Establish a truly effective analytics organization with your own custom, balanced approach.

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